Role: AI/ML Architect
Location: Bay Area, CA (Hybrid)
Duration: Long Term
Job Description:
- Engage with customers to understand problem statements and technical requirements
- Design and architect AI/ML cloud solutions
- Develop system architecture diagrams and establish best practices for ML systems
- Define data architecture and model serving strategies
Technical Leadership & Development
- Guide the team in building Python-based APIs and AI/ML models
- Design and implement ML pipeline automation
- Establish model deployment and monitoring frameworks
- Review technical designs and approve implementation approaches
- Drive architectural decision-making and set technical direction
Skills & Qualifications:
- 5+ years of experience designing, developing, deploying, and operationalizing AI/ML solutions
- Expertise in GenAI and Conversational AI technologies, including LLMs, LangChain, Llama Index, and Vector DBs (e.g., Pinecone, Elasticsearch)
- Strong understanding of Deep Learning and Machine Learning techniques such as LLMs, Neural Networks, CNNs, RNNs, LSTM, Transformers, and Time Series Forecasting
- Experience in Data Science, NLP, Generative AI, and AI solution architecture
- Proficiency in MLOps/LLMOps, with experience in ML pipelines both On-Prem and Cloud (e.g., SageMaker)
- Expert-level skills in Python and open-source frameworks such as PyTorch, TensorFlow, NumPy, etc.
- Proven experience designing cloud-native solutions using AI services from Azure, AWS, or other cloud platforms
- Ability to lead and mentor Data Engineers and ML engineers, guiding them on technical architecture and best practices
